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Standing Up or Standing By: Understanding Bystanders’ Proactive Reporting Responses to Social Media Harassment

Author

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  • Randy Yee Man Wong

    (Department of Information Systems and Operations Management, The University of Auckland, Auckland 1010, New Zealand)

  • Christy M. K. Cheung

    (Department of Finance and Decision Sciences, Hong Kong Baptist University, Hong Kong)

  • Bo Xiao

    (Shidler College of Business, University of Hawaii at Manoa, Honolulu, Hawaii 96822)

  • Jason Bennett Thatcher

    (Fox School of Business, Temple University, Philadelphia, Pennsylvania 19122)

Abstract

Social media harassment, a cyberbullying behavior, poses a serious threat to users and platform owners of social media. A growing body of research suggests involving bystanders in interventions to combat deviant behaviors. In this paper, we contextualize the bystander intervention framework and reporting literature to social media in order to understand why bystanders report social media harassment. Our contextualized intervention framework focuses on three sociotechnical aspects—the online social environment, characteristics of the technology platform, and their interplay—that explain bystander reporting on social media platforms. We tested the model using data gathered from 291 active Facebook users. We found that four contextualized factors, (1) perceived emergency of the social media harassment incident, (2) perceived responsibility to report, (3) perceived self-efficacy in using built-in reporting functions, and (4) perceived outcome effectiveness of built-in reporting functions for tackling social media harassment, shaped bystanders’ willingness to intervene against social media harassment. In addition, we showed that perceived anonymity of the reporting system counterbalances the negative influence of the presence of others on bystanders’ willingness to intervene. For research, we contribute to the cyberbullying literature by offering a novel sociotechnical explanation of mechanisms that shape bystanders’ willingness to report social media harassment. For practice, we offer insight into how to build safer and secure social media platforms for all users.

Suggested Citation

  • Randy Yee Man Wong & Christy M. K. Cheung & Bo Xiao & Jason Bennett Thatcher, 2021. "Standing Up or Standing By: Understanding Bystanders’ Proactive Reporting Responses to Social Media Harassment," Information Systems Research, INFORMS, vol. 32(2), pages 561-581, June.
  • Handle: RePEc:inm:orisre:v:32:y:2021:i:2:p:561-581
    DOI: 10.1287/isre.2020.0983
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    References listed on IDEAS

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    Cited by:

    1. Ugochukwu Etudo & Victoria Y. Yoon, 2024. "Ontology-Based Information Extraction for Labeling Radical Online Content Using Distant Supervision," Information Systems Research, INFORMS, vol. 35(1), pages 203-225, March.
    2. Ángel Denche-Zamorano & Sabina Barrios-Fernandez & Carmen Galán-Arroyo & Sebastián Sánchez-González & Felipe Montalva-Valenzuela & Antonio Castillo-Paredes & Jorge Rojo-Ramos & Pedro R. Olivares, 2022. "Science Mapping: A Bibliometric Analysis on Cyberbullying and the Psychological Dimensions of the Self," IJERPH, MDPI, vol. 20(1), pages 1-14, December.
    3. Jimena Zapata & Justin Sulik & Clemens Wulffen & Ophelia Deroy, 2024. "Bystanders’ collective responses set the norm against hate speech," Palgrave Communications, Palgrave Macmillan, vol. 11(1), pages 1-13, December.
    4. Tommy K. H. Chan & Christy M. K. Cheung & Izak Benbasat & Bo Xiao & Zach W. Y. Lee, 2023. "Bystanders Join in Cyberbullying on Social Networking Sites: The Deindividuation and Moral Disengagement Perspectives," Information Systems Research, INFORMS, vol. 34(3), pages 828-846, September.
    5. Nabity-Grover, Teagen & Cheung, Christy M.K. & Bennett Thatcher, Jason, 2023. "How COVID-19 stole Christmas: How the pandemic shifted the calculus around social media Self-Disclosures," Journal of Business Research, Elsevier, vol. 154(C).
    6. Ebers, Axel & Thomsen, Stephan L., 2022. "Evaluating a Gamified Bystander Program: Evidence from Two Randomized Online Field Experiments," Hannover Economic Papers (HEP) dp-692, Leibniz Universität Hannover, Wirtschaftswissenschaftliche Fakultät.

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